Manage flashcard decks with MCP server features including creation, study modes, UI workflows, import export, and analytics
MCP Flashcards is an MCP (Model Context Protocol) server designed to manage flashcard decks, enabling users to create, study, and organize flashcards programmatically. This innovative solution integrates seamlessly with various AI applications through the Model Context Protocol, such as Claude Desktop, Continue, and Cursor, ensuring a streamlined workflow for data management tasks.
MCP Flashcards leverages Model Context Protocol to offer a robust set of functionalities. These include creating and managing flashcard decks, adding or editing cards, studying with spaced repetition, importing and exporting decks, tracking statistics, and more. The new UI workflow integration for Claude Desktop, human-in-the-loop interaction prompts, and session management further enhance the user experience.
MCP Flashcards is not just a standalone tool; it's an integral part of AI application ecosystems. By adhering to the MCP standard, this server ensures compatibility with various clients like Claude Desktop while providing a powerful set of features for managing flashcard data effectively.
MCP Flashcards implements Model Context Protocol by defining specific command-line interfaces and environment variables that comply with the protocol's standards. Here’s an example of how to configure the server within your MCP settings:
{
"mcpServers": {
"flashcards": {
"command": "npx",
"args": ["@no-smoke/mcp-flashcards"],
"env": {
"FLASHCARDS_DATA_DIR": "./path/to/data/directory"
}
}
}
}
This configuration sets up the Flashcards MCP server, indicating the command to execute and specifying environment variables such as FLASHCARDS_DATA_DIR
for storing flashcard data.
To get started with MCP Flashcards, follow these steps:
npm install @no-smoke/mcp-flashcards
Imagine a language learner using Claude Desktop for vocabulary improvement. By integrating MCP Flashcards, they can create customized flashcard decks based on their study needs and receive guided learning sessions via spaced repetition. The human-in-the-loop UI prompts ensure that the learner receives feedback at critical points in their study journey.
A technical writer working with Continue could use MCP Flashcards to manage documentation references and terms efficiently. By creating flashcard decks for key concepts, they can maintain up-to-date documentation while ensuring accuracy through regular updates and reviews.
MCP Flashcards supports multiple MCP clients like Claude Desktop, Continue, Cursor, and more, facilitating a seamless integration experience across different AI applications. Here is the compatibility matrix:
MCP Client | Resources | Tools | Prompts | Status |
---|---|---|---|---|
Claude Desktop | ✅ | ✅ | ✅ | Full Support |
Continue | ✅ | ✅ | ✅ | Full Support |
Cursor | ❌ | ✅ | ❌ | Tools Only |
MCP Flashcards ensures compatibility with various tools and environments, making it a versatile solution for developers building AI applications. The performance matrix below illustrates the efficiency of the server in handling large datasets:
graph LR
A[Data Management] --> B{High Speed}
C[Scalability] --> D{Resource Efficient}
E[Maintainable Codebase] --> F{Clear Documentation}
sub_graph Performance
B --> C
C --> D
D --> F
end
MCP Flashcards provides advanced configuration options to tailor the server to specific needs. For instance, environment variables can be used to define data directories and API keys for secure access to external services.
export FLASHCARDS_DATA_DIR=path/to/secure/directory
Security is a key concern, and MCP Flashcards adheres to best practices by ensuring that sensitive information like API keys are stored securely using environment variables or other secured storage solutions.
startFlashcardSession
, showFlashcardPrompt
, and updateFlashcardSession
commands, allowing for interaction within multi-step processes.Contributing to MCP Flashcards involves familiarizing yourself with the codebase, writing tests, and maintaining documentation. Developers are encouraged to follow best practices for commit messages and pull requests:
git clone https://github.com/No-Smoke/mcp-flashcards.git
cd mcp-flashcards
npm install
npm test
npm run dev
Explore the broader MCP ecosystem, including documentation and community resources:
By leveraging MCP Flashcards, developers can enhance their AI applications with powerful data management capabilities, ensuring efficient and effective integration into a wide range of tools.
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